Early detection of foot ulceration in type II diabetic patient using registration method in infrared images and descriptive comparison with deep learning methods-Reference-Cited by-同舟云学术

Early detection of foot ulceration in type II diabetic patient using registration method in infrared images and descriptive comparison with deep learning methods

Published:2022-03-19 Issue:11 Volume:78 Page:13409-13426
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Rai Mritunjay,Maity Tanmoy,Sharma Rohit^ORCID,Yadav R. K.

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-022-04380-z.pdf

Reference51 articles.

1. Prabhu SM and Verma S (2019) Comparative analysis of segmentation techniques for progressive evaluation and risk identification of diabetic foot ulcers,” In: Proceedings IEEE 4th M.E.C. International Conference On Big Data And Smart City (ICBDSC), 1–6. https://doi.org/10.1109/ICBDSC.2019.8645591

2. Vilcahuaman L (2013) Early diagnosis of diabetic foot using thermal images. 2013, 139.

3. Singh N et al (2005) Preventing foot ulcers in patients with diabetes. J Am Med Assoc 293(2):217–228. https://doi.org/10.1001/jama.293.2.217

4. Astasio-Picado A et al (2018) Thermal map of the diabetic foot using infrared thermography. Infrared Phys Technol 93:59–62. https://doi.org/10.1016/j.infrared.2018.07.008

5. Ilo A et al (2019) Infrared thermography and vascular disorders in diabetic feet. J Diabetes Sci Technol 14(1):28–36. https://doi.org/10.1177/1932296819871270

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